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David AI, based in San Francisco, seeks a Frontend Engineer to build intuitive interfaces that help researchers and customers make sense of audio data used to train models. You will work with researchers to iterate on data collection and visualization within real-time pipelines.
The role emphasizes shipping polished, production-grade interfaces, prototyping rapidly, and staying current with frontend frameworks. Come join a fast-moving team advancing audio AI infrastructure.
David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human—it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in.David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors.Our team is sharp, humble, ambitious, and tight-knit. We're looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI.
At David AI, our engineers build the pipelines, platforms, and models that transform raw audio into high-signal data for leading AI labs and enterprises. We're a tight-knit team of product engineers, infrastructure specialists, and machine learning experts focused on building the world's first audio data research company.We move fast, own our work end-to-end, and ship to production daily. Our team designs real-time pipelines handling terabytes of speech data and deploys cutting-edge generative audio models.
As a Frontend Engineer at David AI, you'll build cutting-edge, intuitive interfaces that help our users make sense of the audio data they'll use to train their models, working closely with researchers to consistently iterate on how to best collect our data.In this role, you willShip polished, intuitive UI features that thousands of users will interact with daily.Build performant, responsive interfaces on top of the data processing pipelines that derive actionable insights from terabytes of audio data every day.Design and build interfaces that surface LLM and DSP based solutions, increasing our customers' understanding of nuanced features across our datasets.Iterate rapidly on our research hypotheses by working closely with researchers and our Operations team to deploy interfaces to collect new data.Stay up-to-date with cutting edge technologies and frameworks to apply to our current product offering across frontend engineering, design systems, and user experience.